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Redaktur Jurnal RABIT Teknik Informatika Universitas Abdurrab: Gedung Universitas Abdurrab Pekanbaru Jl. Riau Ujung No. 73 Pekanbaru Riau - Indonesia
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RABIT: Jurnal Teknologi dan Sistem Informasi Univrab
Published by Universitas Abdurrab
ISSN : 24772062     EISSN : 2502891X     DOI : https://doi.org/10.36341/rabit
Core Subject : Science, Engineering,
Computer Science & IT Engineering
This journal is called RABIT, where the name comes from two words namely, RAB which means Abdurrab University and IT which means information technology, it can be interpreted as a journal of this journal Journal of Informatics Engineering Study Program Pekanbaru Abdurrab University. This RABIT journal contains various sciences related to the world of computers especially information technology and information systems, namely, this journal is published twice a year where the initial publication is on January 10 while for the second issue which is on July 10.
Arjuna Subject : Ilmu Komputer (semua kategori) - Sistem Informasi
Articles 8 Documents
 1 
Search results for , issue "Vol 5 No 2 (2020): Juli" : 8 Documents clear
Sistem Seleksi Penerimaan Siswa Baru Berdasarkan Cabang Olahraga Dengan Menggunakan Metode Promethee Lagut Hamulian; agustin agustin
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 5 No 2 (2020): Juli
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1282.531 KB) | DOI: 10.36341/rabit.v5i2.1308

Abstract

Senior High School of Sports is a secondary school that aims to channel the interests and talents of students from the junior high school level (SMP) in the field of sports. In Riau itself there is only one secondary school in the field of sports, namely SMA Negeri Sports. Many students who have talent in the field of sports who have graduated from junior high school (SMP) wish to enter the Sports High School, but Sports High School has special criteria to determine which students are entitled to enter the high school. These criteria are used to determine the sport that is suitable for students based on the criteria that are fulfilled. The system is designed using the Promethe method. Promethee is a method of determining the order (priority) in Multi Criterion Decisin Making (MCDM). The Promethee method uses criteria and weights from each criterion which are then processed to determine the selection of alternative fields, the results of which are sequentially based on their priorities. The results of this study, this method can help the school select students who enter SMA Negeri of Sports in determining the sport that is suitable for these students.
Perancangan datawarehouse dan teknologi business intelligence untuk analisa penjualan pada perusahaan retail PT. ABC I Putu Susila Handika; Putu Praba Santika
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 5 No 2 (2020): Juli
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v5i2.1309

Abstract

PT. ABC is one of the retail industries. PT. ABC already has 378 stores spread across Bali, Lombok, and Makassar. Curently PT. ABC has a POS cashier system and warehouse management system to help run its business processes. The problem that often occurs is when the data is more and more, the process of data analysis becomes less optimal because the data is processed very much and to many users who use the system. Thus datawarehouse and business intelligence technology are needed to process data and visualize data into information that can be easily analyzed by stakeholders. Datawarehouse modeling method used in this study is the nine steps kimball method, for ETL process tools are used from Pentaho data integration, and the data visualization process is used power business intelligence tools to be able to display data in graphical form so that stakeholders can analyze data quickly and easily. The application of data warehouses and business intelligence technology can be used and produce information that matches the needs obtained in the analysis of functional requirements. This is evidenced by the results of black box testing that has been received by all stakeholders of PT. ABC.
Pengklasifikasian Tingkat Kesejahteraan Keluarga Di Desa Citamiang Dengan Penerapan Logika Fuzzy Model Tahani Yoga Permana; Lelah Lelah
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 5 No 2 (2020): Juli
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (727.716 KB) | DOI: 10.36341/rabit.v5i2.1318

Abstract

Indonesia is a country with a substantial population population, in the year 2020 the population of Indonesia reaches 269.6 million. Each of them certainly has a family. Family welfare not only affects the success of its family, but also affects the success of the government, no exception of village governance. Therefore, information about the family welfare level is necessary to review the efforts that the Government has made if it is successful or not. To determine the level of family welfare there are several indicators such as income, occupation, age and dependents. In order to classify the family welfare process can be more efficient, it can be processed through programs that apply Fuzzy logic with Tahani model. The purpose of the study was intended to classify the welfare of the family based on population data owned by the village government. Based on the research results obtained by Fuzzy logic with Tahani model can be used to process population data in accordance with the level of family welfare indicators by providing output in the form of classifications of families including incapacitated families, underprivileged families and privileged families. The output of the program was also tested with the fuzzyTECH application to measure the success of Fuzzy logic on the built program.
Aplikasi Informasi Pelaporan Dan Penemuan Barang Tertinggal Berbasis Android (Studi Kasus: Pt Kereta Commuter Indonesia) Muhamad Ridwan Shobari; Fajar Masya
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 5 No 2 (2020): Juli
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v5i2.1324

Abstract

In carrying out the process of reporting and finding items left behind at PT Kereta Commuter Indonesia, the mechanism is still using making a loss letter. When the Passenger wants to know the items left behind are reported to the station clerk, then he must contact the passanger officer and fill in the loss form, then from the passanger service, coordinate via mobile phone to find out the item's position. The method used in the analysis is the PIECES application method, the development method used is the waterfall method but only to the needs analysis and system design while the data collection methods used in this study are literature studies, observations and interviews. The results of this study are android-based applications that can be used by PT Kereta Commuter Indonesia, Passanger Service Officers in reporting and finding leftovers, the value of paper writing into storage in the database.
Pengamanan M-Commerce Menggunakan One Time Password Metode Pseudo Random Number Generator (PRNG) Muhammad Fahrizal; Achmad Solichin
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 5 No 2 (2020): Juli
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (991.897 KB) | DOI: 10.36341/rabit.v5i2.1363

Abstract

Mobile commerce or m-commerce is an electronic trading system (e-commerce) that uses mobile equipment such as mobile phones, smart phones, PDAs, and notebooks. With the growth of smartphone users throughout the world, many electronic commerce business owners also provide m-commerce applications to make it easier for their customers to make transactions. In addition to providing convenience for users, m-commerce application providers must be able to ensure that customers can transact safely. Security risks are one of the major obstacles in the development of electronic commerce systems. Therefore, this research applies the method of securing m-commerce applications using one time password (OTP) generated by the Pseudo Random Number Generator (PRNG) method. This study also modified the PRNG algorithm by doing three bit shifting processes and adding encryption algorithms. The test results show that the system can generate an OTP that is always unique for each transaction. The results of this study are useful for m-commerce application developers to secure their applications.
Sistem Informasi Geografis Indikasi Tindak Kriminal Di Kecamatan Ujungbatu Rokan Hulu Sukri sukri; Rahmat Tisnawan; Marsal Marsal
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 5 No 2 (2020): Juli
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (5077.891 KB) | DOI: 10.36341/rabit.v5i2.1367

Abstract

Crimes in many areas occur with different models and forms of events, this makes it difficult to determine areas that are significant unlike reference to the level of vulnerability to crime. Information system about follow-up needs to be obtained in real time by the public and law enforcement. Society in general, criminal information is very useful to find vulnerable points in travel and anticipatory actions, especially for the police. The level of anger as making a decision about the area of ​​extra or unnecessary supervision needs to be done. For that, information is needed to map the crime that occurred in Ujungbatu District based on web using Google Maps. The resulting application outputs are graphic maps of crime information that occurred, which are grouped by kelurahan in Ujungbatu District. This is expected to help the community and facilitate the Ujungbatu District Police in analyzing crime rates
Analisis Data Sebaran Bandwidth Menggunakan Algoritma Dbscan Untuk Menentukan Tingkat Kebutuhan Bandwidth Di Kabupaten Purwakarta Teguh Iman Hermanto; Yusuf Muhyidin
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 5 No 2 (2020): Juli
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (684.828 KB) | DOI: 10.36341/rabit.v5i2.1388

Abstract

Berdasarkan data yang tercatat pada tahun 2018 terdapat 43 organisasi perangkat daerah di kabupaten Purwakarta yang sudah mendapatkan bandwidth internet. Setiap organisasi perangkat daetah yang telah mendapatkan bandwidth mempunyai tingkat kebutuhan yang berbeda – beda ,namun saat ini jumlah pembagian bandwidth dan tingkat kebutuhan belum dapat dikelompokan. Tujuan dari penelitian ini untuk menetukan tingkat kebutuhan bandwidth di Purwakarta dengan cara melakukan analisis data mining terhadap data yang ada menggunakan algoritma DBSCAN sehingga akan terbentuk cluster yang yang dibagi berdasarkan tingkat kebutuhan. Pada penelitian ini metode analisis yang digunakan yaitu SEMMA (Sample, Explore, Modify, Model, Assess) tahapan SEMMA meliputi Data Selection, Pre-processing / cleaning, Transformation, Data Mining dan Assess / Evaluation. Hasil dari analisis menggunakan nilai minpts = 5 dan nilai epsilon = 3. Cluster yang terbentuk yaitu sebanyak 2 cluster, cluster 1 terdapat sebanyak 15 organisasi perangkat daerah dengan tingkat kebutuhan bandwidth rendah dan cluster 2 terdapat 21 organisasi perangkat daerah dengan tingkat kebutuhan bandwidth sedang, dan Noise terdapat 7 organisasi perangkat daerah dengan kebutuhan bandwidth yang terlalu tinggi.
Peramalan Harga Saham Menggunakan Metode Autoregressive Dan Web Scrapping Pada Indeks Saham Lq45 Dengan Python Dessy Tri Anggraeni
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 5 No 2 (2020): Juli
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (815.29 KB) | DOI: 10.36341/rabit.v5i2.1401

Abstract

The Stock Exchange gives investors or traders the possibility to gain a profit (capital gains) or losses (capital loss) due to stock prices fluctuation. This uncertainty can be circumvented by applying forecasting methods to predict future stock prices. One of the method is Autoregressive. This method uses stock data in the past to get a formula to predict future stock prices. The stock price data history can be seen at several stock data provider pages and can be retrieved automatically using the Web Scrapper technique. This tehcnique make the result can be obtained quickly, easily, and accurately. The forecasting accuracy is measured using the MAPE (Mean Absolute Percent Error) method. This method was chosen because it is easier for commoner to understand. As a result, forecasting program are succed to give stock price predictions and their accuracy. The data tested in this study are all stocks incorporated in the LQ45 index. The average accuracy level obtained was 94,62%. The highest accuracy level is BKSL stock of 99,92% and the smallest one is ASRI stock of 90.13%.

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